issues
search
facebookresearch
/
deep_bisim4control
Learning Invariant Representations for Reinforcement Learning without Reconstruction
Other
145
stars
37
forks
source link
issues
Newest
Newest
Most commented
Recently updated
Oldest
Least commented
Least recently updated
reproducing the generalization results
#22
sunchipsster1
opened
1 year ago
0
Does the bisim loss influence the convergence of the forward and reward dynamics model?
#21
chaobiubiu
opened
2 years ago
0
Transition Model Type "" behaves differently from "deterministic"
#20
sebimarkgraf
opened
2 years ago
0
about baseline_agent
#19
ligvxi
closed
2 years ago
0
Questions about reproducing results
#18
humanbins
opened
3 years ago
5
Error!
#17
lmc19970711
opened
3 years ago
0
problems about the version of packages
#16
ArronDZhang
opened
3 years ago
0
Hi, is there a way to run this with the simple distractors environments?
#15
slerman12
opened
3 years ago
1
Questions on reproducing CARLA
#14
ttaa9
opened
3 years ago
1
I don't understand a detail about the transition_reward_model loss function
#13
TianQi-777
opened
3 years ago
1
Questions about the default parameters
#12
BillHan-Fantast
opened
3 years ago
0
Whether the reward model are applied in calculating J(Φ)
#11
indolentbear
closed
3 years ago
0
Question about augmentation
#10
tunglm2203
closed
3 years ago
1
How to resume training
#9
tung-nd
closed
3 years ago
0
Cannot reproduce paper's results
#8
noobitard
closed
3 years ago
5
Conda environment file minor fix
#7
yanlai00
closed
3 years ago
1
How many videos in the simple distractor experiments?
#6
kyonofx
closed
3 years ago
1
Reproducing the Generalization Experiments
#5
rraileanu
closed
3 years ago
1
Hyper-paramters for OpenAi's classic control environments
#4
bheijden
closed
4 years ago
2
Update train.py
#3
rowanmcallister
closed
4 years ago
1
Adding Code of Conduct file
#2
facebook-github-bot
closed
4 years ago
0
Adding Contributing file
#1
facebook-github-bot
closed
4 years ago
0